TANGO: FREE Text-to-Audio Generation Using Latent Diffusion Model (LDM)
In this video, we will discuss TANGO, a revolutionary project that involves the Latent Diffusion Model (LDM) to convert text into audio, known as Text-to-Audio (TTA) generation. TANGO can produce realistic audio outputs such as human sounds, animal sounds, natural and artificial sounds, and sound effects from written text. TANGO uses the Flan-T5, a text encoder specifically fine-tuned for instruction, to process input text data. The model also involves training a UNet-based diffusion model for audio generation. Despite training the LDM on a smaller dataset compared to other state-of-the-art models, TANGO performs comparably across both objective and subjective metrics.
In this video, we will discuss the technicalities of the project, including the LDM and UNet-based diffusion model, how TANGO converts text into audio, and its ability to produce realistic audio outputs. We will also look at how TANGO compares with other state-of-the-art models and how it makes its model, training, inference code, and pre-trained checkpoints available for use by the research community. If you enjoyed this video, please give it a like and consider subscribing to our channel for more exciting content like this. Don’t forget to share it with your friends and colleagues who might be interested in TANGO and its potential applications.
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0:00 - Introduction
1:34 - What is TANGO?
2:56 - Flowchart
4:28 - Examples/Demo
6:00 - AudioLDM vs TANGO
8:55 - Limitations
10:25 - Local Installation
13:00 - Experiment Results
14:20 - Huggingface Demo
Additional Tags and Keywords:
TANGO, Latent Diffusion Model, LDM, Text-to-Audio, TTA, Flan-T5, UNet-based Diffusion Model, Audio Generation, Realistic Audio Outputs, State-of-the-art Models, Research Community, Artificial Intelligence, Machine Learning, Deep Learning.
Hashtags:
#TANGO #LatentDiffusionModel #LDM #TextToAudio #TTA #FlanT5 #UNetBasedDiffusionModel #AudioGeneration #RealisticAudioOutputs #StateOfTheArtModels #ResearchCommunity #ArtificialIntelligence #MachineLearning #DeepLearning
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